Upload
others
View
0
Download
0
Embed Size (px)
Citation preview
Building a Data-Driven World 1
Gates COVID-19 Tracker, Week 6 - Texas
This document includes toplines for 760 responses to the Gates COVID-19 Tracker fielded May
22-26, 2020 in the state of Texas. The toplines report on the percentage of survey-takers who
selected each response, weighted to Texas’s general population (adults aged 18+) in Civis’
consumer file. National toplines from this week are also provided for each question response for
comparison.
Each question is labeled by its question tag (which was included in the Questionnaire document
in brackets) and the question text. Some questions were only shown to a subset of respondents;
the number of responses to each question is indicated by “N = “ in the label. A description of the
subset who were shown the question is also included below the question text, indicated by
“Displayed if:“ or “Shown to.”
For some questions in the disease tracking section, we’ve provided two versions of the
percentage of survey-takers for questions with display logic. On the left, “US (asked)” or “TX
(asked)” represent the percentage of respondents who were asked the question; on the right, “US
(all resp)” or “TX (all resp)” represent the percentage of all respondents, with an additional entry
for “(Not asked).”
Building a Data-Driven World 2
Texas Toplines
Health Status: N = 760 How would you describe your current health status?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Health Status US TX
Excellent 20.0% 21.1%
Very Good 33.0% 31.9%
Good 31.0% 31.7%
Fair 13.5% 12.1%
Poor 2.5% 3.1%
Building a Data-Driven World 3
Has Insurance: N = 760 Do you currently have health insurance?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Has Insurance US TX
Yes 82.8% 75.9%
No 13.5% 20.1%
Building a Data-Driven World 4
Coronavirus Risk Symptoms2 Month2: N = 760 In the last month (30 days), have you experienced any of the following symptoms? Please
select all that apply.
US Margin of Error = 1.3%, TX Margin of Error = 5%
Description US TX
Cough 12.1% 9.3%
Shortness of breath or
difficulty breathing 7.5% 6.1%
Fever 5.2% 5.8%
Chills 5.0% 5.4%
Muscle pain 16.8% 16.1%
Headache 24.5% 20.0%
Sore throat 8.4% 7.7%
New loss of taste or smell 2.9% 2.3%
None of the above 57.1% 62.2%
Building a Data-Driven World 5
Coronavirus Risk Symptoms2 Week2: N = 320 In the last week (7 days), have you experienced any of the following symptoms? Please
select all that apply.
US Margin of Error = 1.9%, TX Margin of Error = 7.7%
Displayed if: [Coronavirus Risk Symptoms2 Month2] == Yes
Description US TX
Cough 20.5% 18.1%
Shortness of breath or
difficulty breathing 13.5% 14.6%
Fever 8.4% 11.4%
Chills 8.8% 10.3%
Muscle pain 29.6% 33.9%
Headache 41.2% 38.2%
Sore throat 12.0% 11.7%
New loss of taste or smell 5.5% 7.2%
None of the above 19.9% 17.5%
Building a Data-Driven World 6
Coronavirus Risk Think Infected: N = 760 Do you think you’ve been infected with the Coronavirus (COVID-19)?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Risk Think Infected US TX
Yes 6.2% 3.6%
No 84.1% 87.8%
Unsure 9.6% 8.7%
Building a Data-Driven World 7
Coronavirus Risk Hospitalization Suspected: N = 760 In the last month (30 days), have you seen a healthcare provider or have you gone to a
hospital because you suspected you had Coronavirus (COVID-19)?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Risk Hospitalization Suspected US TX
Yes 9.1% 8.4%
No 89.2% 90.3%
I don't know 1.7% 1.3%
Building a Data-Driven World 8
Coronavirus Risk Where Medical: N = 70 Where did you first seek medical care for Coronavirus (COVID-19)?
US Margin of Error = 4.3%, TX Margin of Error = 16.5%
Displayed if: [Coronavirus Risk Hospitalization Suspected] == Yes
Coronavirus Risk Where Medical US (Asked) TX (Asked) US (All Resp) TX (All Resp)
Hospital or emergency room 23.2% 26.5% 2.1% 2.2%
Urgent care 14.7% 10.1% 1.3% 0.9%
My primary care doctor or another doctor 37.5% 44.3% 3.4% 3.7%
A local health department 20.7% 15.0% 1.9% 1.3%
Other: 3.9% 4.0% 0.4% 0.3%
Not answered NA% NA% 90.9% 91.6%
Building a Data-Driven World 9
Coronavirus Risk Tested: N = 760 In the last month (30 days) have you been tested for Coronavirus (COVID-19)?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Risk Tested US TX
Yes 11.4% 11.8%
No 86.6% 85.8%
I don't know 2.0% 2.4%
Building a Data-Driven World 10
Coronavirus Risk Tested When: N = 102 For how long did you have symptoms before you were tested for Coronavirus (COVID-
19)?
US Margin of Error = 3.8%, TX Margin of Error = 13.7%
Displayed if: [Coronavirus Risk Tested] == Yes
Coronavirus Risk Tested When US TX
I was tested the same day I started experiencing symptoms 11.7% 15.0%
2-3 days 19.3% 17.8%
4-7 days 15.9% 8.4%
8-14 days 8.5% 7.2%
14+ days 9.4% 6.1%
I had not experienced any symptoms before being tested 32.7% 42.9%
I don’t know 2.4% 2.6%
Building a Data-Driven World 11
Coronavirus Risk Denied: N = 648 Have you been denied a test for Coronavirus (COVID-19)?
US Margin of Error = 1.4%, TX Margin of Error = 5.4%
Displayed if: [Coronavirus Risk Tested] == No
Coronavirus Risk Denied US TX
Yes 3.1% 2.9%
No 95.0% 95.2%
I don't know 1.8% 1.9%
Building a Data-Driven World 12
Coronavirus Risk Positive: N = 102 Have you tested positive for Coronavirus (COVID-19)?
US Margin of Error = 3.8%, TX Margin of Error = 13.7%
Displayed if: [Coronavirus Risk Tested] == Yes
Coronavirus Risk Positive US (Asked) TX (Asked) US (All Resp) TX (All Resp)
Yes 26.4% 19.4% 3.0% 2.3%
No 68.9% 80.5% 7.9% 9.5%
I don't know 4.7% 0.1% 0.5% 0.0%
Not answered NA% NA% 88.6% 88.2%
Building a Data-Driven World 13
Coronavirus Attitudes Concern Level: N = 760 How concerned are you about Coronavirus (COVID-19)?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Attitudes Concern Level US TX
Very concerned 41.7% 38.5%
Somewhat concerned 32.2% 32.4%
Slightly concerned 16.4% 16.8%
Not at all concerned 9.6% 12.3%
Building a Data-Driven World 14
Coronavirus Attitudes Concern Family: N = 760 How concerned are you about the effects of Coronavirus (COVID-19) on your immediate
family?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Attitudes Concern Family US TX
Very concerned 46.0% 45.3%
Somewhat concerned 29.5% 25.2%
Slightly concerned 15.7% 19.6%
Not at all concerned 8.8% 9.8%
Building a Data-Driven World 15
Coronavirus Attitudes Concern Network: N = 760 How concerned are you about the effects of Coronavirus (COVID-19) on your friends and
extended family?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Attitudes Concern Network US TX
Very concerned 43.2% 41.5%
Somewhat concerned 32.4% 31.5%
Slightly concerned 16.4% 16.2%
Not at all concerned 8.0% 10.7%
Building a Data-Driven World 16
Coronavirus Attitudes Concern Community: N = 760 How concerned are you about the effects of Coronavirus (COVID-19) on people in your
community?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Attitudes Concern Community US TX
Very concerned 38.6% 36.2%
Somewhat concerned 35.9% 38.7%
Slightly concerned 17.5% 14.7%
Not at all concerned 8.1% 10.3%
Building a Data-Driven World 17
Coronavirus Attitudes State Order Reaction: N = 760 Which statement best reflects your feelings about closures, restrictions, and other steps
that the state of <State Name> has taken to slow the spread of the virus?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Attitudes State Order Reaction US TX
I wish they would do even more 25.6% 29.1%
I think the steps are appropriate given the serious nature of the crisis 47.4% 46.1%
I think some of the steps are important, but overall they go too far 15.2% 14.3%
I think everyone is overreacting 7.4% 6.3%
Building a Data-Driven World 18
Coronavirus Attitudes Intent Social Distancing: N = 760 Do you intend to stay at home and avoid all non-essential contact with others to reduce
the spread of COVID-19?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Attitudes Intent Social Distancing US TX
Definitely 52.7% 50.9%
Probably 26.1% 26.8%
Probably not 11.6% 12.6%
Definitely not 5.9% 6.5%
I don’t know 3.8% 3.2%
Building a Data-Driven World 19
Coronavirus Preventative Actions: N = 760 Do you agree with the following statements? Even after restrictions are lifted...
US Margin of Error = 1.3%, TX Margin of Error = 5%
Strongly Agree Somewhat Agree Somewhat
Disagree
Strongly
Disagree I Don’t Know
Actions US TX US TX US TX US TX US TX
Even after restrictions are
lifted, I will continue to
practice social and physical
distancing, limiting trips to
public places like grocery
stores and parks, limiting in-
person interactions, and
staying 6 feet apart from
others.
49.8% 50.3% 33.3% 33.1% 7.5% 8.1% 4.9% 3.4% 4.5% 5.1%
Even after restrictions are
lifted, I will continue
washing my hands
frequently with soap for at
least 20 seconds and
cleaning and disinfecting
regularly-touched surfaces.
66.6% 68.0% 23.1% 21.9% 5.3% 5.2% 1.9% 1.5% 3.0% 3.4%
I believe everybody should
wear a mask in public to
minimize risk to others even
after restrictions are lifted.
47.5% 44.1% 25.5% 29.2% 12.8% 15.4% 9.6% 7.8% 4.6% 3.5%
Building a Data-Driven World 20
Coronavirus Agree: N-size between 357 and 403 Do you agree or disagree with the following statement?
US Margin of Error = 1.8%, TX Margin of Error = 7.3%
Each of these options shown to a roughly 50% random subset of respondents
Strongly Agree Somewhat Agree Somewhat
Disagree
Strongly
Disagree I Don’t Know
Statements US TX US TX US TX US TX US TX
The danger or severity of
the outbreak has been over-
exaggerated.
16.2% 20.3% 22.3% 25.3% 18.0% 13.0% 36.9% 33.4% 6.6% 8.1%
The outbreak will continue
for at least another month. 58.0% 57.8% 24.4% 24.8% 6.6% 6.4% 4.5% 6.6% 6.5% 4.3%
If we don’t continue
practicing social/physical
distancing for the long term,
the COVID-19 outbreak will
get worse and come back.
49.5% 49.0% 28.3% 29.6% 9.7% 9.1% 5.1% 4.5% 7.4% 7.9%
It’s ok to ignore the
social/physical distancing
guidelines every once in a
while.
10.6% 9.8% 18.5% 23.8% 21.2% 19.5% 44.2% 44.3% 5.4% 2.6%
I can lower my risk of
catching COVID-19 through
the way I act.
55.9% 50.6% 28.2% 30.1% 6.3% 9.3% 4.0% 3.2% 5.6% 6.7%
Social/physical distancing
and shelter-in-place orders
have been successful in
slowing the spread of
COVID-19.
43.5% 43.0% 37.8% 36.4% 8.6% 11.2% 3.5% 5.1% 6.6% 4.2%
Building a Data-Driven World 21
I want to get back to normal,
even if it means risking
another outbreak.
13.3% 12.4% 21.0% 22.7% 20.4% 24.1% 39.5% 32.5% 5.7% 8.2%
Social/physical distancing is
difficult, but it’s worth it. 54.9% 52.2% 26.8% 31.1% 8.8% 10.4% 5.4% 4.6% 4.1% 1.6%
I am likely to catch COVID-
19. 7.7% 6.1% 16.5% 16.5% 28.2% 29.4% 29.6% 33.5% 18.0% 14.6%
I’m worried that I might
spread COVID-19 to others,
even if I don’t have
symptoms myself.
27.1% 25.5% 32.2% 29.0% 16.7% 18.8% 15.9% 19.1% 8.2% 7.6%
I think I can make a
meaningful difference by
donating money or
volunteering my time right
now.
20.0% 17.4% 33.4% 34.0% 15.9% 16.8% 12.5% 14.8% 18.2% 17.0%
I feel confident that when I
donate money now, it is
being put to good use.
17.0% 22.8% 33.0% 27.3% 16.7% 15.9% 12.7% 14.7% 20.6% 19.3%
Building a Data-Driven World 22
Coronavirus Contact Tracing Voluntary App: N = 760 Would you sign up for a phone app that would use Bluetooth technology in order to alert
you if someone you came into contact tested positive for COVID-19?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Contact Tracing Voluntary App US TX
Yes 41.4% 42.7%
No 37.4% 37.1%
I don't know 21.2% 20.2%
Building a Data-Driven World 23
Coronavirus Contact Tracing Voluntary Share: N = 760 If you tested positive for COVID-19, would you share the personal contact information of
people you’ve been near, with local public health authorities, in order to let them know
that they’ve been exposed?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Contact Tracing Voluntary Share US TX
Yes 72.8% 73.0%
No 15.1% 15.9%
I don't know 12.0% 11.1%
Building a Data-Driven World 24
Coronavirus Attitudes Government Priorities: N = 760 How much of a priority should it be to find solutions to each of the following issues?
US Margin of Error = 1.3%, TX Margin of Error = 5%
A Critical Priority A High Priority A Lower Priority Not A Priority At
All
Issue US TX US TX US TX US TX
Coronavirus (COVID-19) 59.1% 60.1% 27.0% 25.5% 9.7% 10.1% 4.2% 4.2%
The performance of the
stock market 22.5% 24.6% 40.6% 40.9% 28.6% 27.1% 8.3% 7.5%
Companies cutting jobs in
the US 43.8% 48.9% 42.4% 37.4% 9.9% 9.4% 3.9% 4.3%
Climate change 32.6% 29.0% 32.5% 31.5% 22.6% 26.7% 12.2% 12.7%
Diplomatic tension between
US and China 23.9% 24.8% 42.7% 44.6% 27.1% 24.7% 6.3% 5.9%
Extreme poverty in poor
countries 26.9% 28.0% 36.1% 36.0% 28.5% 28.5% 8.5% 7.5%
The health systems in Africa
coming under strain 21.6% 22.8% 35.4% 38.6% 31.4% 29.1% 11.6% 9.4%
The healthy systems in the
US coming under strain 46.7% 46.3% 40.6% 42.0% 9.2% 10.2% 3.5% 1.6%
Preventing future
pandemics 53.7% 51.0% 33.7% 34.2% 9.1% 12.2% 3.5% 2.7%
Building a Data-Driven World 25
Coronavirus School Closures Policy: N = 760 Policymakers have proposed a number of possible policies to deal with COVID-related
school closures in the next school year. To what extent do you support or oppose each of
the following?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Strongly Support Support Oppose Strongly Oppose No Opinion
Policy US TX US TX US TX US TX US TX
Having all students repeat
their current grade next
year.
7.5% 6.5% 11.6% 14.0% 28.5% 25.9% 41.0% 44.6% 11.4% 9.0%
Promoting all students to
the next grade regardless of
their performance this year.
15.3% 20.2% 25.4% 25.9% 29.2% 26.9% 14.8% 15.3% 15.3% 11.7%
Determining students'
grade placement based on
their performance as of
March.
17.9% 20.4% 39.5% 43.5% 16.6% 12.4% 10.0% 10.8% 16.0% 13.0%
Providing summer school
for all students if it is safe to
do so.
22.8% 24.1% 36.4% 40.3% 16.5% 12.7% 11.8% 13.5% 12.5% 9.3%
Canceling all standardized
testing this year. 26.0% 31.5% 30.9% 31.9% 17.5% 12.9% 10.2% 10.5% 15.4% 13.2%
Canceling grades for the
remainder of the year. 17.5% 19.2% 27.6% 29.6% 24.6% 19.6% 13.0% 17.4% 17.1% 14.2%
Converting grades for the
remainder of the year to
Pass/Fail.
16.4% 16.1% 34.8% 35.6% 17.9% 15.2% 10.4% 12.8% 20.5% 20.3%
Building a Data-Driven World 26
Coronavirus Recent News: N = 760 How much have you seen, read, or heard over the past week about the following issues?
US Margin of Error = 1.3%, TX Margin of Error = 5%
A Lot - I Can
Describe It In
Great Detail
Some - I Can
Describe It, But
Am Not Familiar
With The
Specifics
A Little - I Have
Heard About It,
But Can't Say
Much About It
Not At All - I
Have Not Heard
About This
Issue US TX US TX US TX US TX
Coronavirus (COVID-19) 58.1% 59.7% 27.2% 25.9% 9.8% 11.2% 4.9% 3.2%
The performance of the
stock market 23.3% 24.3% 35.6% 35.5% 28.0% 27.7% 13.1% 12.5%
Companies cutting jobs in
the US 32.5% 35.3% 37.7% 38.4% 21.0% 20.0% 8.8% 6.2%
Climate change 21.6% 20.0% 30.4% 27.4% 27.7% 33.5% 20.3% 19.0%
Diplomatic tension between
US and China 20.0% 22.4% 36.1% 35.3% 29.8% 28.6% 14.2% 13.8%
Extreme poverty in poor
countries 14.2% 16.0% 26.8% 26.1% 34.0% 35.5% 24.9% 22.4%
The health systems in Africa
coming under strain 10.9% 13.8% 20.2% 16.1% 29.3% 30.8% 39.6% 39.3%
The health systems in the
US coming under strain 30.3% 27.6% 38.0% 41.7% 20.8% 21.7% 10.9% 8.9%
The presidential election 32.7% 30.8% 35.4% 31.0% 22.0% 28.0% 9.9% 10.1%
Building a Data-Driven World 27
Coronavirus Information Trust: N = 398 How much do you trust the following sources of information about the Coronavirus
(COVID-19)?
US Margin of Error = 1.8%, TX Margin of Error = 6.9%
Shown to random 50% subset of respondents
Strongly Trust Slightly Trust Slightly Distrust Strongly Distrust Have No Opinion
Source US TX US TX US TX US TX US TX
Local public health officials 29.5% 29.0% 40.2% 40.6% 14.4% 13.7% 7.3% 8.4% 8.6% 8.2%
Federal public health officials
(e.g. HHS, CDC) 33.9% 32.1% 34.9% 38.4% 14.2% 10.6% 8.6% 9.9% 8.3% 9.0%
The World Health
Organization (WHO) 30.3% 24.6% 31.0% 39.5% 14.8% 10.3% 15.1% 17.3% 8.8% 8.3%
People in your network
(family, friends, or
acquaintances)
25.6% 29.3% 42.4% 41.1% 14.4% 13.3% 6.6% 7.6% 11.0% 8.7%
Your physician 47.4% 44.4% 31.1% 30.8% 7.8% 8.8% 4.4% 4.7% 9.2% 11.2%
Social media (e.g. Facebook,
Twitter) 8.2% 9.9% 22.9% 24.9% 27.1% 26.3% 29.4% 29.9% 12.4% 8.9%
Cable news network (e.g. Fox
News, CNN, MSNBC) 18.1% 12.6% 34.5% 32.9% 21.1% 20.9% 16.8% 24.8% 9.4% 8.9%
Broadcast news (e.g. NBC,
CBS, ABC) 21.5% 24.0% 34.9% 37.7% 17.5% 14.0% 17.6% 16.2% 8.4% 8.1%
National newspapers 17.1% 16.4% 34.9% 30.5% 20.0% 23.2% 15.7% 17.9% 12.3% 11.9%
President Trump and Vice
President Pence 20.4% 19.2% 22.2% 28.8% 14.2% 10.9% 34.6% 31.6% 8.6% 9.5%
Radio broadcasts 12.3% 13.5% 36.8% 35.8% 22.4% 22.6% 11.6% 12.7% 17.0% 15.4%
Building a Data-Driven World 28
Local newspapers 16.0% 16.9% 42.5% 35.4% 18.8% 20.6% 10.8% 11.8% 11.9% 15.4%
Church communications 17.5% 21.3% 30.3% 30.9% 17.1% 22.1% 14.6% 11.2% 20.5% 14.6%
Building a Data-Driven World 29
Coronavirus Information Use: N = 398 Which of the following information sources have you used to learn about the Coronavirus
(COVID-19) in the past 7 days? Please select all that apply.
US Margin of Error = 1.8%, TX Margin of Error = 6.9%
Shown to same subset as Coronavirus Information Trust
Source US TX
Local public health officials 28.5% 28.1%
Federal public health
officials (e.g. HHS, CDC) 32.2% 30.5%
The World Health
Organization (WHO) 25.3% 25.5%
People in your network
(family, friends, or
acquaintances)
32.1% 35.2%
Your physician 16.9% 20.0%
Social media (e.g. Facebook,
Twitter) 32.5% 33.2%
Cable news networks (e.g.
Fox News, CNN, MSNBC) 42.0% 37.7%
Broadcast news (e.g. NBC,
CBS, ABC) 45.4% 44.8%
National newspapers 18.5% 19.5%
President Trump and Vice
President Pence 28.7% 28.5%
Radio broadcasts 15.9% 14.2%
Church communications 7.9% 7.0%
Building a Data-Driven World 30
Local newspapers 24.8% 22.7%
Building a Data-Driven World 31
Coronavirus Behaviors Addition: N = 760 Which of the following have you done in the last 7 days to keep yourself safe from
Coronavirus (COVID-19) in addition to what you normally do?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Behavior US TX
Washed your hands with
soap or used hand sanitizer
several times per day
73.7% 72.0%
Canceled or postponed
travel 30.2% 33.5%
Canceled or postponed
activities with other people 38.0% 39.8%
Worked or studied at home 32.9% 38.8%
Visited a doctor 10.9% 10.0%
Cancel or postponed a
doctor's appointment 20.6% 17.1%
Stockpiled food or water 23.7% 24.2%
Avoided public spaces,
gatherings, or crowds 65.3% 64.8%
Increased how often I clean
or disinfect things I might
touch, such as door knobs or
hard surfaces
49.8% 51.4%
Building a Data-Driven World 32
Coronavirus Days Out Grocery: N = 760 Thinking about the last two weeks, how frequently have you left the house to shop for
groceries?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Days Out Grocery US TX
Multiple times a day 5.5% 7.8%
Once a day 6.7% 5.5%
A few times a week 26.2% 27.8%
Once a week 33.1% 33.5%
Once in the last two weeks 18.5% 16.8%
I have not left my home in at least two weeks 10.0% 8.5%
Building a Data-Driven World 33
Coronavirus Days Out Takeout: N = 760 Thinking about the last two weeks, how frequently have you gone to a restaurant or cafe
to pick up a take-out order?
US Margin of Error = 1.3%, TX Margin of Error = 5%
Coronavirus Days Out Takeout US TX
Multiple times a day 3.7% 4.7%
Once a day 5.1% 6.4%
A few times a week 18.5% 18.7%
Once a week 20.8% 19.3%
Once in the last two weeks 23.8% 28.6%
I have not left my home in at least two weeks 28.1% 22.3%
Building a Data-Driven World 34
Coronavirus HH Division: N = 528 total, 278 parents Thinking about your own life, specifically the ways in which you and your spouse or
partner divide up roles at home. Since the start of the Coronavirus (COVID-19)
pandemic, who does more of each of the following?
Full margin of error: 6% , Parent margin of error: 8.3%
Shown to random 50% of respondents where [Marriage Status] == 'Married', also [Children 18 or
less] == Yes for options with children
I Do More Of
This
We Share This
Equally
My
Spouse/Partner
Does More Of
This
Task Before
Covid
Since
Covid
Before
Covid
Since
Covid
Before
Covid
Since
Covid
Educating children at home
(parents only) 11.1% 15.3% 11.8% 11.0% 11.2% 7.7%
Caring for children (parents
only) 14.1% 12.1% 11.2% 17.4% 8.7% 4.5%
Playing with/entertaining
children (parents only) 12.0% 11.4% 15.5% 19.3% 6.5% 3.2%
Cooking 14.1% 13.2% 9.8% 11.1% 9.5% 9.1%
Cleaning 14.9% 14.7% 12.5% 14.8% 6.0% 3.9%
Grocery shopping 17.4% 16.8% 11.9% 10.5% 4.2% 6.1%
Managing household
finances 17.6% 15.0% 11.5% 13.5% 4.4% 5.0%
Working to support the
family 9.0% 10.4% 17.4% 16.5% 7.0% 6.5%
Making health decisions for
the family 13.4% 13.2% 17.3% 17.7% 2.7% 2.5%
Building a Data-Driven World 35
Coronavirus Behaviors Coping: N = 760 Out of the past seven days, what is your best estimate of the number of days that you did
each of the following activities?
US Margin of Error = 1.3%, TX Margin of Error = 5%
No Days 1 Day 2 To 3 Days 4 To 5 Days 6 To 7 Days
Activity US TX US TX US TX US TX US TX
Drank alcohol 53.7% 53.3% 13.4% 14.8% 15.9% 14.0% 8.5% 9.4% 8.5% 8.6%
Used marijuana 77.7% 82.1% 5.6% 7.6% 5.3% 3.1% 3.4% 2.2% 7.9% 5.0%
Used non-marijuana drugs 83.8% 82.4% 4.9% 6.6% 4.7% 5.3% 2.7% 2.1% 3.9% 3.6%
Meditated 63.6% 59.7% 8.3% 10.5% 11.0% 11.9% 6.8% 8.1% 10.3% 9.8%
Exercised 23.8% 24.2% 11.2% 14.4% 23.3% 21.4% 20.8% 20.2% 21.0% 19.8%
Made time to relax 12.5% 11.1% 8.4% 9.6% 17.1% 19.2% 17.0% 15.5% 45.0% 44.6%
Connected with family or
friends 13.8% 12.3% 10.1% 11.6% 21.1% 23.9% 18.4% 18.9% 36.6% 33.3%
Spent time on social media 21.7% 18.4% 8.8% 11.0% 12.3% 12.4% 10.9% 11.6% 46.4% 46.6%
Smoked cigarettes 72.4% 73.4% 5.2% 7.0% 5.0% 6.8% 3.4% 3.3% 14.0% 9.5%
Used e-cigarettes or vaped 81.4% 81.1% 4.9% 6.6% 5.5% 6.2% 3.0% 2.0% 5.1% 4.2%
Building a Data-Driven World 36
Average Coronavirus Behaviors Coping: N = 760 Out of the past seven days, what is your best estimate of the number of days that you did
each of the following activities?
Activity Avg Days
Drank alcohol 1.47
Used marijuana 0.71
Used non-marijuana drugs 0.55
Meditated 1.59
Exercised 3.09
Made time to relax 4.42
Connected with family or friends 4.00
Spent time on social media 4.32
Smoked cigarettes 1.15
Used e-cigarettes or vaped 0.68
Building a Data-Driven World 37
Coronavirus Behaviors Coping Alcohol Qty: N = 356 In the past seven days, how many alcoholic drinks did you have on a typical day when
you drank alcohol?
US Margin of Error = 1.9%, TX Margin of Error = 7.3%
Displayed if: [Coronavirus Behaviors Coping, Drank Alcohol] > 0
Coronavirus Behaviors Coping Alcohol Qty US TX
1 32.2% 29.1%
2 27.4% 21.9%
3 15.1% 17.1%
4 to 5 13.4% 16.5%
6 to 8 7.3% 9.9%
9 or more 4.5% 5.5%
Mean drinks per day = 3.06
Building a Data-Driven World 38
Coronavirus Behaviors Coping Alcohol Binge Male: N = 192 In the past seven days, on how many days did you drink 5 or more alcoholic beverages
within a couple of hours?
US Margin of Error = 2.7%, TX Margin of Error = 10%
Displayed if: [Coronavirus Behaviors Coping, Drank Alcohol] > 0 and [Gender] == Male
Coronavirus Behaviors Coping Alcohol Binge Male US TX
No days 45.3% 39.7%
1 day 13.6% 17.3%
2 to 3 days 20.7% 27.1%
4 to 5 days 11.9% 7.2%
6 to 7 days 8.4% 8.7%
Mean days of binge consumption per week = 1.76
Building a Data-Driven World 39
Coronavirus Behaviors Coping Alcohol Binge Female: N = 164 In the past seven days, on how many days did you drink 4 or more alcoholic beverages
within a couple of hours?
US Margin of Error = 2.6%, TX Margin of Error = 10.8%
Displayed if: [Coronavirus Behaviors Coping, Drank Alcohol] > 0 and [Gender] == Female
Coronavirus Behaviors Coping Alcohol Binge Female US TX
No days 63.8% 58.3%
1 day 12.4% 20.9%
2 to 3 days 13.4% 4.6%
4 to 5 days 7.0% 12.8%
6 to 7 days 3.5% 3.5%
Mean days of binge consumption per week = 1.16
Building a Data-Driven World 40
Postsecondary Education: N = 760 Are you currently enrolled in a postsecondary education program at a college, university,
or trade school?
US Margin of Error = 1.2%, TX Margin of Error = 5%
Postsecondary Education US TX
Yes 16.4% 15.6%
No 83.6% 84.4%
Building a Data-Driven World 41
Postsecondary Education Change: N = 143 Have your plans to continue or complete your postsecondary program changed because
of the Coronavirus (COVID-19) epidemic or school closures?
US Margin of Error = 2.7%, TX Margin of Error = 11.5%
Displayed if: [Postsecondary Education] == Yes
Postsecondary Education Change US TX
Yes 67.8% 76.2%
No 32.2% 23.8%
Building a Data-Driven World 42
Postsecondary Education Change How: N = 102 How have your plans to continue or complete your postsecondary program changed?
Select all that apply.
US Margin of Error = 3.3%, TX Margin of Error = 13.7%
Displayed if: [Postsecondary Education Change] == Yes
Change US TX
Transferring to another
school 17.3% 20.4%
Postponing enrollment 21.5% 39.5%
Taking a semester or year
off 27.6% 27.1%
Changing plans for the
current semester (e.g. work
study, study abroad)
29.9% 25.7%
Changing plans for the next
semester (e.g. work study,
study abroad)
30.3% 28.1%
Other: 7.5% 8.7%
Building a Data-Driven World 43
Coronavirus Donate Volunteer: N = 760 Have you donated or volunteered in response to the Coronavirus pandemic? Select all
that apply.
US Margin of Error = 1.3%, TX Margin of Error = 5%
Action US TX
Donated 23.6% 21.9%
Volunteered 11.7% 11.5%
Neither donated nor
volunteered 67.3% 69.7%
Building a Data-Driven World 44
Coronavirus Donate Type: N = 175 What types of funds have you donated to? Select all that apply.
US Margin of Error = 2.6%, TX Margin of Error = 10.4%
Displayed if: [Coronavirus Donate Volunteer] == Donated
Action US TX
Local business or service
worker support 17.2% 16.5%
Hunger relief 35.7% 50.3%
Education 13.9% 17.6%
Health care or medical
services 25.0% 21.8%
First responder and
healthcare worker support 23.0% 20.4%
Neighborhood or
community funds 25.3% 23.6%
Direct funding of individuals
in need 18.6% 17.2%
I have donated more to
organizations I already
support
27.6% 23.2%
Other 5.1% 4.6%
Building a Data-Driven World 45
Coronavirus Donate Amt: N = 154 In total, how much have you donated in response to the Coronavirus pandemic?
US Margin of Error = 2.8%, TX Margin of Error = 11.1%
Displayed if: [Coronavirus Donate Volunteer] == Donated
Coronavirus Donate Amt US TX
$1-$50 37.9% 34.7%
$51-$100 21.5% 28.0%
$101-$200 12.5% 9.2%
$201-$500 16.1% 20.3%
$500-$2000 12.1% 7.8%
Mean donation amount = $268.99
Self-reported donation amounts over $2000 were removed to calculate the average above.
Building a Data-Driven World 46
Coronavirus Volunteer Type: N = 106 What types of volunteer work have you done? Select all that apply.
US Margin of Error = 3.7%, TX Margin of Error = 13.4%
Displayed if: [Coronavirus Donate Volunteer] == Volunteered
Action US TX
Making face masks 33.5% 27.0%
Collecting medical supplies 23.6% 29.7%
Food or grocery supply and
delivery 38.1% 46.5%
Volunteering at a homeless
shelter 25.7% 34.7%
Assistance for elderly or at-
risk individuals 25.6% 29.7%
Other 9.6% 5.4%
Building a Data-Driven World 47
Coronavirus Donate Volunteer Barriers: N = 503 You indicated that you have not donated or volunteered in response to the Coronavirus
pandemic.For what reasons have you not donated or volunteered? Select all that apply.
US Margin of Error = 1.6%, TX Margin of Error = 6.2%
Displayed if: [Coronavirus Donate Volunteer] == Neither donated nor volunteered
Barriers US TX
I don’t have time 19.2% 19.4%
I don’t have money 45.8% 45.2%
I don’t know where to start 17.8% 22.6%
I don’t think I can make a
real difference 11.2% 13.5%
I haven’t been asked to
donate or volunteer 27.9% 24.2%
Other: 12.0% 12.4%
Building a Data-Driven World 48
Coronavirus Likelihood Jobloss: N = 484 The Coronavirus (COVID-19) may cause economic challenges for some people regardless
of whether they are actually infected. How likely do you think it is that you will lose your
job because of the Coronavirus within the next three months?
US Margin of Error = 1.7%, TX Margin of Error = 6.3%
Displayed if: [Employment] == 'Full time' OR 'Part time'
Coronavirus Likelihood Jobloss US TX
Very likely 16.7% 16.4%
Somewhat likely 17.7% 18.5%
Somewhat unlikely 16.0% 18.2%
Very unlikely 25.8% 24.5%
Not sure 23.8% 22.4%
Building a Data-Driven World 49
Coronavirus Children K12: N = 298 Do you have any children at home who are currently enrolled in primary or secondary
school (K-12)?
US Margin of Error = 2.2%, TX Margin of Error = 8%
Displayed if: [Children 18 or less] == Yes
Coronavirus Children K12 US TX
Yes 74.0% 73.2%
No 26.0% 26.8%
Building a Data-Driven World 50
Coronavirus Children K12 Closure: N = 222 Have any of your children in K-12 had school suspended or canceled because of
Coronavirus (COVID-19)?
US Margin of Error = 2.6%, TX Margin of Error = 9.3%
Displayed if: [Children K-12] == Yes
Coronavirus Children K12 Closure US TX
Yes 87.2% 82.8%
No 12.8% 17.2%
Building a Data-Driven World 51
Coronavirus Children K12 Homework: N = 191 Are your children who were affected by school closures doing educational activities at
home?
US Margin of Error = 2.7%, TX Margin of Error = 10%
Displayed if: [Children K-12 Closure] == Yes
Coronavirus Children K12 Homework US TX
Yes 93.0% 95.0%
No 7.0% 5.0%
Building a Data-Driven World 52
Children K12 Homework Workload: N = 180 How would you describe the amount of work that teachers or schools are requiring your
children to complete at home?
US Margin of Error = 2.8%, TX Margin of Error = 10.3%
Children K12 Homework Workload US TX
Too much work 30.2% 29.7%
The right amount of work 56.4% 58.6%
Not enough work 13.3% 11.7%
Building a Data-Driven World 53
Children K12 Homework Workload Expectation: N = 180 How would you describe the expectations your child(ren)’s teachers or school have for
the work they are completing at home?
US Margin of Error = 2.8%, TX Margin of Error = 10.3%
Children K12 Homework Workload Expectation US TX
Expecting too much 30.7% 28.2%
Expecting the right amount 59.8% 66.2%
Not expecting enough 9.5% 5.7%
Building a Data-Driven World 54
Coronavirus Children K12 Homework Plan: N = 180 Who typically plans the educational activities that your children complete at home
during closure?
US Margin of Error = 2.8%, TX Margin of Error = 10.3%
Displayed if: [Children K-12 Homework] == Yes
Coronavirus Children K12 Homework Plan US TX
The school or teachers 53.1% 55.5%
Parent or guardian 30.1% 28.1%
The children themselves 10.6% 11.8%
Other household members 5.4% 3.9%
None of the above 0.9% 0.7%
Building a Data-Driven World 55
Coronavirus Children K12 Sources: N = 222 What sources of information do you rely on to support your children's learning? Select all
that apply.
US Margin of Error = 2.6%, TX Margin of Error = 9.3%
Displayed if: [Children K-12] == Yes
Source US TX
My children's school or
teachers 70.0% 70.1%
Other parents 13.3% 13.2%
State education officials 24.3% 25.1%
Education researchers 28.9% 29.9%
The media 17.1% 14.4%
Social media, blogs, and
forums 21.3% 25.0%
None of the above 4.4% 6.5%
Building a Data-Driven World 56
Coronavirus Children K12 Frequency: N = 222 How frequently do you access information to support your children's learning?
US Margin of Error = 2.6%, TX Margin of Error = 9.3%
Displayed if: [Children K-12] == Yes
Coronavirus Children K12 Frequency US TX
Multiple times a day 23.5% 20.5%
Daily 36.3% 45.9%
Several times per week 20.6% 18.6%
Weekly 12.1% 8.2%
Monthly 2.6% 1.8%
Less than monthly 1.7% 0.2%
Never 3.2% 4.8%
Building a Data-Driven World 57
Coronavirus Children K12 Internet: N = 191 Do your children have access to the internet during the day to support learning?
US Margin of Error = 2.7%, TX Margin of Error = 10%
Displayed if: [Children K-12 Closure] == Yes
Coronavirus Children K12 Internet US TX
Yes 95.9% 98.7%
No 4.1% 1.3%
Building a Data-Driven World 58
Coronavirus Children K12 Internet Type: N = 186 What type(s) of internet do your children have access to? Select all that apply.
US Margin of Error = 2.8%, TX Margin of Error = 10.1%
Displayed if: [Children K-12 Internet] == Yes
Type US TX
Dedicated household
internet or wi-fi 82.3% 84.7%
Dedicated cellular hotspot 16.0% 16.3%
Hotspot through someone
else's mobile phone 13.3% 11.6%
Other 1.2% 0.2%
Building a Data-Driven World 59
Coronavirus Children K12 Internet Device: N = 186 What type(s) of devices do your children use to access the internet for learning? Select all
that apply.
US Margin of Error = 2.8%, TX Margin of Error = 10.1%
Type US TX
A laptop or desktop
computer 72.1% 71.8%
A tablet or iPad 44.2% 43.8%
A smartphone 42.3% 39.8%
Building a Data-Driven World 60
Coronavirus Children K12 Internet Device Dedicated: N = 186 Does each child in your home have access to a dedicated internet-enabled device to
complete school work at home (i.e. not shared with another child)?
US Margin of Error = 2.8%, TX Margin of Error = 10.1%
Displayed if: [Children K-12 Internet] == Yes
Coronavirus Children K12 Internet Device Dedicated US TX
Yes 93.4% 93.1%
No 6.6% 6.9%
Building a Data-Driven World 61
Coronavirus Children K12 Iep Iep: N = 191 Do any of your children have an IEP (Individualized Education Program) Plan?
US Margin of Error = 2.7%, TX Margin of Error = 10%
Displayed if: [Children K-12 Closure] == Yes
Coronavirus Children K12 Iep Iep US TX
Yes 45.9% 51.3%
No 54.1% 48.7%
Building a Data-Driven World 62
Coronavirus Children K12 Iep 504: N = 191 Do any of your children have a 504 Plan?
US Margin of Error = 2.7%, TX Margin of Error = 10%
Displayed if: [Children K-12 Closure] == Yes
Coronavirus Children K12 Iep 504 US TX
Yes 30.3% 30.8%
No 69.7% 69.2%
Building a Data-Driven World 63
Coronavirus Children K12 Iep How: N = 109 How are they receiving specialized instruction or accommodations mandated by the
Individualized Education Plan? Select all that apply.
US Margin of Error = 3.8%, TX Margin of Error = 13.2%
Displayed if: [Children K-12 IEP or 504] == Yes
Instruction Or
Accommodation US TX
Individual or Small Group
Instruction 42.9% 45.3%
Physical Materials
Delivered 34.4% 36.3%
Guidance on Accessibility
Features 44.7% 47.1%
Other Specialized
Instruction 17.7% 12.1%
No Specialized Instruction 10.5% 6.6%
Building a Data-Driven World 64
Coronavirus Children K12 Iep Satisfaction: N = 109 How satisfied are you with the specialized instruction or accommodations your children
have received for education activities at home during school closure?
US Margin of Error = 3.8%, TX Margin of Error = 13.2%
Displayed if: [Children K-12 IEP or 504] == Yes
Coronavirus Children K12 Iep Satisfaction US TX
Very satisfied 53.9% 59.4%
Somewhat satisfied 34.6% 32.1%
Somewhat unsatisfied 6.5% 6.0%
Very unsatisfied 5.0% 2.4%
Building a Data-Driven World 65
Coronavirus Children K12 Parent Beliefs: N = 191 Do you agree or disagree with the following statements?
US Margin of Error = 2.7%, TX Margin of Error = 10%
Displayed if: [Children K-12 Closure] == Yes
Strongly Agree Agree Disagree Strongly
Disagree
Statement US TX US TX US TX US TX
School closures have made
it difficult for me to work or
do other household tasks.
29.1% 32.9% 35.3% 31.3% 25.0% 24.8% 10.5% 11.0%
I am satisfied with the
communication to support
learning from
child's/children's school(s).
38.6% 44.5% 46.4% 43.1% 11.0% 10.6% 4.1% 1.9%
My child/children will be
prepared for school in the
next school year.
37.7% 45.0% 45.3% 35.1% 13.7% 18.8% 3.4% 1.2%
Building a Data-Driven World 66
Coronavirus Children High School: N = 222 Do you have any children at home who are currently enrolled in high school?
US Margin of Error = 2.2%, TX Margin of Error = 9.3%
Displayed if: [Children K-12] == Yes
Coronavirus Children High School US TX
Yes 52.3% 50.0%
No 47.7% 50.0%
Building a Data-Driven World 67
Coronavirus Children High School Postsecondary: N = 114 What are your high school child(ren)'s current plans for after high school? Select all that
apply.
US Margin of Error = 3.1%, TX Margin of Error = 12.9%
Displayed if: [Children High School] == Yes
Option US TX
Unknown 14.8% 14.0%
Military 8.5% 6.0%
Employment 18.2% 14.9%
Technical training 14.5% 13.5%
Community college 19.0% 23.8%
Four-year college 44.9% 49.3%
Other 4.7% 1.6%
Building a Data-Driven World 68
Coronavirus Children High School Postsecondary Change: N = 114 Have your high school child(ren)'s plans for after high school changed because of the
Coronavirus (COVID-19) epidemic or school closures?
US Margin of Error = 3.1%, TX Margin of Error = 12.9%
Displayed if: [Children High School] == Yes
Coronavirus Children High School Postsecondary Change US TX
Yes 44.9% 44.9%
No 55.1% 55.1%
Building a Data-Driven World 69
Coronavirus Children High School Postsecondary Change How: N = 56 How have your high school child(ren)'s plans changed? Select all that apply.
US Margin of Error = 4.5%, TX Margin of Error = 18.5%
Displayed if: [Children Postsecondary Change] == Yes
Description US TX
Switched to an option closer
to home 31.8% 32.7%
Switched to a less expensive
option 30.6% 30.6%
Postponed plans 47.3% 58.5%
Other 3.6% 1.3%
Building a Data-Driven World 70
Coronavirus Children Impact Parent Concern: N = 298 As a parent, are you more or less concerned about your child(ren)'s development in the
following areas as a result of Coronavirus (COVID-19) than you were before?
US Margin of Error = 2.2%, TX Margin of Error = 8%
Much More
Concerned
A Little More
Concerned
Neither More
Nor Less
Concerned Than
Before
A Little Less
Concerned
Much Less
Concerned
Area US TX US TX US TX US TX US TX
Social 18.6% 22.6% 26.1% 23.4% 30.4% 36.6% 12.8% 8.8% 12.2% 8.6%
Academic 21.8% 24.6% 25.8% 29.0% 27.4% 26.3% 13.2% 10.6% 11.7% 9.5%